SEO vs GEO: How to Optimize a New Website for AI Search and LLMsSolved

Participant
Discussion
4 months ago Jan 07, 2026

We are launching a new documentation portal and technical blog. There is an internal debate about whether we should focus strictly on Generative Engine Optimization (GEO) rather than traditional SEO. 

My understanding is that LLMs like Claude or ChatGPT take months to ingest new sites into their training data, whereas traditional SEO has well-defined constraints and proven indexing methods. If we build entirely for GEO, it feels like we are optimizing for systems that might not even read our site this quarter. Am I overlooking something by wanting to prioritize traditional SEO for a brand-new domain? How are others approaching this balance? 

Replies (3)

Marked SolutionPending Review
Participant
4 months ago Jan 08, 2026
Marked SolutionPending Review

Hi @laura123. I can clarify how LLMs handle new content, as there is a common misconception about training timelines. 

You do not have to wait for an LLM’s next major training cycle for it to read your site. Modern AI search tools like ChatGPT Search, Perplexity, or Google’s AI Overviews rely on Retrieval Augmented Generation (RAG). When a user asks a question, the AI performs a live web search, reads the top ranking pages in real time, and synthesizes an answer. If Google indexes your site today, an AI can technically read and cite it tomorrow. 

That being said, your instinct to focus on traditional SEO is correct. Technical SEO is the prerequisite. If your site has slow server response times, poor XML sitemaps, or relies heavily on client-side JavaScript rendering, traditional search engines won’t index it. And if search engines can’t find you, the AI agents won’t either. 

Marked SolutionPending Review
Participant
4 months ago Jan 09, 2026
Marked SolutionPending Review

That RAG component completely changes the timeline I had in mind. Thanks for the clarification, Sarah. 

If traditional SEO is what gets the crawlers to the site, how should we approach the actual content structure? Do we stick to long-form, keyword-focused articles to ensure indexing, or should we be formatting strictly for the LLM parsers? 

Marked SolutionPending Review
Participant
3 months ago Jan 11, 2026
Marked SolutionPending Review

This is exactly where GEO complements your SEO efforts. Writing a massive article strictly to hit keyword density targets is counterproductive now. 

If the text is overly dense or poorly structured, an LLM might fail to extract the core answer and will bypass your page for a competitor’s. To optimize for GEO, you need to structure your content so it is easily parsed by language models: 

  • Direct Answers: Provide the exact, factual answer to the page’s core topic in the first two sentences of a section. 
  • High-Density Formatting: LLMs are highly effective at extracting data from clear tables, bulleted lists, and bolded terms. 
  • Credibility Signals: Models are designed to weigh cited statistics, clear quotes, and original structured data heavily. 

You use traditional SEO to ensure the page is discoverable and indexed, but you apply GEO formatting so the AI can quickly understand, extract, and cite your information. 

Save